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: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time-series
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the following responsibilities: ● Leading the development of predictive bioeconomic models to estimate economic outcomes, including fisheries spillover effects and biodiversity benefits, across global
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Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
: Applications accepted all year round Details We welcome applications for a PhD in population ecology and demographic modelling within a dynamic, interdisciplinary research group tackling big questions across
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financial planning and predictive modeling to inform strategic growth, program viability, and resource allocation. Set Continuum-level financial targets and guardrails (e.g., administrative budgets, reserves
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using Matlab code to estimate the appropriate channel parameters in various wave bands for the design of radio systems. Collect the data and analyse it and relate it to weather data for prediction models
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optimisation by supplying high-quality data needed to validate and refine the next generation of predictive numerical models. A key innovation in this research will be the use of transparent soil analogues
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, specialized training). Preferential factors: Professional or academic experience in experimental characterization; Professional or academic experience in Finite Element Modelling; English language proficiency
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modelling is a valuable tool to revealing the source of UTLS aerosols, the origin of water masses, and formation processes of cirrus particles. Your key responsibilities include: Preparation, operation, and
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an ability to combine perspectives and quantitative methods from multiple scientific traditions is essential to gain insights and make predictions for systems characterised by many degrees of freedom and
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perturb sequencing to establish foundational models to predict the effects of potential drug candidates on cardiovascular diseases. By combining genome engineering, functional genomics, and tissue models